Developing Solutions for Microsoft Azure (AZ-204) Practice Exam

Which collection type of metrics provides near real-time querying and more responsive dashboards in Azure?

1. Log-based

2. Pre-aggregated

3. Raw

4. Recorded

The correct answer is: Pre-aggregated

The choice of pre-aggregated metrics is particularly significant when it comes to performance and responsiveness in Azure. Pre-aggregated metrics are designed to provide summarized data that has already been processed to some extent, allowing for quicker access and display in dashboards. This means that users can query and visualize the data almost instantly, leading to an enhanced user experience when monitoring application performance or operational metrics. Pre-aggregation is essential in scenarios where immediate insights are crucial, as it reduces the amount of data that needs to be loaded and processed at query time. By focusing on aggregates, these metrics avoid the overhead of querying raw data, which can be time-consuming, especially with large datasets. This characteristic supports near real-time querying, making dashboards more responsive and efficient when users are looking to monitor ongoing operations or trends. In contrast, log-based metrics typically focus on unprocessed log data, which can create latency in accessing insights. Raw metrics would include all the detailed data without any summarization, leading to longer query times and less efficient dashboard performance. Recorded metrics might refer to saved historical data but do not inherently prioritize real-time querying or responsiveness in the same way that pre-aggregated metrics do.